Simulation on System Dependability Self-Tuning Method Based on Grade Optimization

Abstract

Ensuring system dependability is a key problem to increase the user service performance. Depending on transcendental self-tuning knowledge, a system dependability self-tuning method based on grade optimization is proposed in this paper. It attempts to implement the sustained growth of system dependability by online dependability evaluation, dependability dynamic prediction and self-tuning scheme selection in turn, which accomplishes the self renewal of transcendental knowledge according to the realtime feedback of self-tuning strategy. The result of experiment shows that it will ensure the increase of system dependability increment.